From World Models to Machine Consciousness

A cognition layer that gives robots and agents: memory, context, and continuity.

See our Litepaper and Incentive Design.

A Closer Look at Loosh.AI

“We are far more than our physical bodies. We are multi-dimensional beings with abilities and awareness far beyond what we have been led to believe.”
— Robert Monroe, Ultimate Journey

What We Do

Self-aware Cognition System

Gives robots and agents a structured sense of before / now / after enabling long-horizon reasoning, self-reflection, self-improvement and better recovery from failure.

Persistent Memory Fabric

Now robots and agents can operate efficiently across task or prompt sequences without needing to retain and resubmit large context packets to inference.

Adaptive Context Builder

Loosh automatically assembles a contextually relevant temporal knowledge graph from agent memories, agent–user interactions, robot/world-model signals, structured ontologies and evolving business data.

Symbolic Ontologies for Embodied AI

A structured information layer that maps semantic concepts to symbolic definitions allowing vector based memories to be tied to ontological structures of meaning like ethical, legal and factual frameworks.

The Infrastructure of
Inner Intelligence

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Redefining Consciousness as Data

Consciousness is no longer an abstract mystery. By treating inner states as quantifiable signals—across EEG, language, and biometric patterns—we're building the first open framework to model human awareness at scale. What was once mystical is now machine-readable.

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Building a Subnet for Cognition

Our Bittensor subnet and mechanisms go beyond general AI—they’re purpose-built to map and evolve. One mechanism translates nonverbal cognition into communicable formats. The other trains agentic models of selfhood that simulate and learn from human inputs in real time.

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We Bridge Science, Systems, and Spirit

Rooted in validated neuroscience, inspired by pioneers like Monroe, Campbell, and Bentov, our project integrates rigorous data science with frontier models of perception, identity, and evolution. We’re not guessing—we’re engineering the future of self-awareness.